Token Optimization - AiLect

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Token Optimization

Practical strategies and tools for reducing LLM token consumption—from context compression and KV-cache alignment to AST-aware code stripping. Learn how to slash AI agent costs by 20–90% without sacrificing output quality.

i-have-adhd Review — The Tiny Skill That Stopped Claude From Burying the Answer

Token Optimization

i-have-adhd Review — The Tiny Skill That Stopped Claude From Burying the Answer

i-have-adhd is a free, open-source Claude Code and Codex skill that enforces ten ruthless output rules on your coding agent. No preamble. No “Great question!” No buried answers. Just the next action, numbered steps, and a concrete next step. It’s one of the simplest, most effective

Headroom Review — The Context Compression Layer That’s Saving AI Agents Millions

Token Optimization

Headroom Review — The Context Compression Layer That’s Saving AI Agents Millions

Headroom is an open-source context compression layer that sits between your AI agent and the LLM, stripping away redundant tokens from tool outputs, logs, code, and RAG chunks before they ever reach the model. Same answers, dramatically lower bills. AI agent costs are spiraling out of control. A single